With the superpower of harmonizing imaginative and controllable content creation, text-to-image generation that takes a natural language description as input and generates an image to match that description, has become one of the most exciting topics in recent years.
Especially in the past few months, the outputs of state-of-the-art text-to-image models, such as OpenAI's DALL-E2  [1]}, Google Brain's Imagen  [2]}, and StabilityAI's Stable Diffusion  [3]} are approaching the authenticity of real photographs and professional the hand-drawn art.
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